116 citations · 145 across the 10 of their papers we have counts for
6 papers · 1 filter
Improving Prediction of Need for Mechanical Ventilation using Cross-Attention
Anwesh Mohanty, Supreeth P. Shashikumar, Jonathan Y. Lam +1
In the intensive care unit, the capability to predict the need for mechanical ventilation (MV) facilitates more timely interventions to improve patient outcomes. Recent works have…
Benchmarking changepoint detection algorithms on cardiac time series
Ayse Cakmak, Erik Reinertsen, Shamim Nemati +1
The pattern of state changes in a biomedical time series can be related to health or disease. This work presents a principled approach for selecting a changepoint detection algorit…
An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms
Salman Seyedi, Li Xiong, Shamim Nemati +1
The increasing complexity of algorithms for analyzing medical data, including de-identification tasks, raises the possibility that complex algorithms are learning not just the gene…
DeepAISE -- An End-to-End Development and Deployment of a Recurrent Neural Survival Model for Early Prediction of Sepsis
Supreeth P. Shashikumar, Christopher Josef, Ashish Sharma +1
Sepsis, a dysregulated immune system response to infection, is among the leading causes of morbidity, mortality, and cost overruns in the Intensive Care Unit (ICU). Early predictio…
Reinforcement Learning in Healthcare: A Survey
Chao Yu, Jiming Liu, Shamim Nemati
As a subfield of machine learning, reinforcement learning (RL) aims at empowering one's capabilities in behavioural decision making by using interaction experience with the world a…
Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes
Hongteng Xu, Weichang Wu, Shamim Nemati +1
Over the past decade the rate of care unit (CU) use in the United States has been increasing. With an aging population and ever-growing demand for medical care, effective managemen…